HA-DSB uses a diffusion Schrödinger bridge with vision-language model region embeddings and PET-guided noise modulation to translate whole-body MRI while preserving lesion fidelity.
Medical Image Analysis 106, 103747 (2025)
2 Pith papers cite this work, alongside 28 external citations. Polarity classification is still indexing.
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2026 2representative citing papers
The paper defines FO Cost-Value Decision for token-sliding discovery and proves FPT and W[1]-hardness results for Partial Vertex Cover Discovery across various graph classes.
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Heterogeneity-Adaptive Diffusion Schrodinger Bridge for PET-Guided Whole-Body MRI Translation
HA-DSB uses a diffusion Schrödinger bridge with vision-language model region embeddings and PET-guided noise modulation to translate whole-body MRI while preserving lesion fidelity.
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FO Value Discovery and Partial Vertex Cover Discovery
The paper defines FO Cost-Value Decision for token-sliding discovery and proves FPT and W[1]-hardness results for Partial Vertex Cover Discovery across various graph classes.